[Application and prospect of machine learning in orthopaedic trauma]

Objective

To review the current applications of machine learning in orthopaedic trauma and anticipate its future role in clinical practice.

Methods

A comprehensive literature review was conducted to assess the status of machine learning algorithms in orthopaedic trauma research, both nationally and internationally.

Results

The rapid advancement of computer data processing and the growing convergence of medicine and industry have led to the widespread utilization of artificial intelligence in healthcare. Currently, machine learning plays a significant role in orthopaedic trauma, demonstrating high performance and accuracy in various areas including fracture image recognition, diagnosis stratification, clinical decision-making, evaluation, perioperative considerations, and prognostic risk prediction. Nevertheless, challenges persist in the development and clinical implementation of machine learning. These include limited database samples, model interpretation difficulties, and universality and individualisation variations.

Conclusion

The expansion of clinical sample sizes and enhancements in algorithm performance hold significant promise for the extensive application of machine learning in supporting orthopaedic trauma diagnosis, guiding decision-making, devising individualized medical strategies, and optimizing the allocation of clinical resources.

Factors impacting the demonstration of relational autonomy in medical decision-making: A meta-synthesis

BACKGROUND

Relational autonomy is an alternative concept of autonomy in which an individual is recognized as embedded into society and influenced by relational factors. Social context, including social location, political structure, and social forces, significantly influence an agent to develop and exercise autonomy skills. The relational approach has been applied in clinical practice to identify relational factors impacting patient autonomy and decision-making, yet there is a knowledge gap in how these factors influence the demonstration of relational autonomy in the context of medical decisions of adults.

OBJECTIVE

The present study targeted the existing knowledge of what and how relational factors impact individuals making medical decisions using the theoretical framework of relational autonomy.

METHODS

A meta-synthesis study was utilized. Four electronic databases, including Embase, OVID Medline, CINAHL, and PubMed, were searched, along with gray literature and reference lists, to identify relevant studies.

RESULTS

23 studies reporting 21 qualitative and two mixed-method studies were reviewed. Four themes emerged from the qualitative findings: (1) supportive relationships facilitate an individual's relational autonomy; (2) obtaining comprehensive information from broader sources helps individuals exercise relational autonomy; (3) undue family pressure impedes the exercising of patient relational autonomy; and (4) healthcare providers' dominant voice hampers the demonstration of relational autonomy.

CONCLUSIONS

Applying relational autonomy to assist adults in making well-considered decisions is essential. The meta-synthesis suggests establishing a supportive relationship between individuals, healthcare providers, and family. A supportive relationship will allow healthcare providers to make judgments in line with an individual's values and wishes with the aim of promoting relational autonomy. Advance care planning was proposed as the effective solution to obtain a consensus between individuals and their families while respecting an individual's values and preferences. Furthermore, it is considered crucial for healthcare providers to appreciate an individual's values and incorporate their preferences into recommendations.

Factors Influencing Physician Decision Making to Attempt Advanced Resuscitation in Asystolic Out-of-Hospital Cardiac Arrest

The objective of this study was to identify the key elements used by prehospital emergency physicians (EP) to decide whether or not to attempt advanced life support (ALS) in asystolic out-of-hospital cardiac arrest (OHCA). From 1 January 2009 to 1 January 2017, all adult victims of asystolic OHCA in Geneva, Switzerland, were retrospectively included. Patients with signs of “obvious death” or with a Do-Not-Attempt-Resuscitation order were excluded. Patients were categorized as having received ALS if this was mentioned in the medical record, or, failing that, if at least one dose of adrenaline had been administered during cardiopulmonary resuscitation (CPR). Prognostic factors known at the time of EP’s decision were included in a multivariable logistic regression model. Included were 784 patients. Factors favourably influencing the decision to provide ALS were witnessed OHCA (OR = 2.14, 95% CI: 1.43–3.20) and bystander CPR (OR = 4.10, 95% CI: 2.28–7.39). Traumatic aetiology (OR = 0.04, 95% CI: 0.02–0.08), age > 80 years (OR = 0.14, 95% CI: 0.09–0.24) and a Charlson comorbidity index greater than 5 (OR = 0.12, 95% CI: 0.06–0.27) were the factors most strongly associated with the decision not to attempt ALS. Factors influencing the EP’s decision to attempt ALS in asystolic OHCA are the relatively young age of the patients, few comorbidities, presumed medical aetiology, witnessed OHCA and bystander CPR.

Impact of the Internet on Medical Decisions of Chinese Adults: Longitudinal Data Analysis

BACKGROUND

The internet has caused the explosive growth of medical information and has greatly improved the availability of medical knowledge. This makes the internet one of the main ways for residents to obtain medical information and knowledge before seeking medical treatment. However, little has been researched on how the internet affects medical decisions.

OBJECTIVE

The purpose of this study was to explore the associations between internet behaviors and medical decisions among Chinese adults aged 18 or over, including whether to go to the hospital and which level of medical institution to choose.

METHODS

With the adult residents (≥18 years old) in 12 regions including urban and rural areas taken as the research objects, the differences in medical choices of adults with various characteristics were analyzed, and generalized linear mixed models were adopted to analyze the longitudinal data of the China Health Nutrition Survey from 2006 to 2015.

RESULTS

Adult groups with different ages, genders, education levels, regions, places of residence, severities of illness and injury, years of suffering from hypertension, and history of chronic diseases showed diverse medical decisions, and the differences were statistically significant (P<.05). After controlling for these potential confounding factors and taking self-care as the reference, the probability of Chinese adults who participated in online browsing activities selecting hospital care was 0.82 (95% CI 0.69-0.98; P=.03) times that of residents who did not participate in online browsing activities. In terms of medical institution choices, adults who participated in online browsing activities were 1.86 (95% CI 1.35-2.58; P<.001) times more likely to opt for municipal medical treatment than primary care. However, the effect of online browsing on the selection probability of county-level hospitals was not significant compared with primary hospitals (P=.59). Robust analysis verified that accessing the internet had a similar effect on Chinese adults' medical decisions.

CONCLUSIONS

Chinese adults who use the internet are a little less likely to go to the hospital than self-care. The internet has broken down the barriers to obtain knowledge of common diseases and thus has a slight substitution effect of self-care on hospital care. Internet use may increase the probability of adults going to municipal hospitals. The rising tendency of visiting high-level medical institutions may be consequently exacerbated due to knowledge monopoly of severe and complicated diseases that is difficult to eliminate, and the increase in inconsistent and incomplete medical information online will blur the residents' cognitive boundary of common diseases and severe diseases. Exploring the substantive impact of the internet on medical decision making is of great significance for further rational planning and utilization of the internet, in order to guide patients to appropriate medical institution.

Risk communication in tables versus text: a registered report randomized trial on 'fact boxes'

OBJECTIVES

identifying effective summary formats is fundamental to multiple fields including science communication, systematic reviews, evidence-based policy and medical decision-making. This study tested whether table or text-only formats lead to better comprehension of the potential harms and benefits of different options, here in a medical context.

DESIGN

pre-registered, longitudinal experiment: between-subjects factorial 2 (message format) × 2 topic (therapeutic or preventative intervention) on comprehension and later recall (CONSORT-SPI 2018).

SETTING

longitudinal online survey experiment.

PARTICIPANTS

2305 census-matched UK residents recruited through the survey panel firm YouGov.

PRIMARY OUTCOME MEASURE

comprehension of harms and benefits and knowledge recall after six weeks.

RESULTS

fact boxes-simple tabular messages-led to more comprehension (d = 0.39) and slightly more knowledge recall after six weeks (d = 0.12) compared to the same information in text. These patterns of results were consistent between the two medical topics and across all levels of objective numeracy and education. Fact boxes were rated as more engaging than text, and there were no differences between formats in treatment decisions, feeling informed or trust.

CONCLUSIONS

the brief table format of the fact box improved the comprehension of harms and benefits relative to the text-only control. Effective communication supports informed consent and decision-making and brings ethical and practical advantages. Fact boxes and other summary formats may be effective in a wide range of communication contexts.

[Decision-making in the context of organ donation]

The medical decision regarding organ removal is an act which the law tends to reduce and subject to a simple legal process. The complexity and extreme sensitivity of the human principles, values and sentiments at play do not warrant this simplification. The decision-making process involves several parties and respects the temporality of the families.

Too Worried to Judge: On the Role of Perceived Severity in Medical Decision-Making

Ideally, decisions regarding one’s health should be made after assessing the objective probabilities of relevant outcomes. Nevertheless, previous beliefs and emotional reactions also have a role in decision-making. Furthermore, the comprehension of probabilities is commonly affected by the presentation format, and by numeracy. This study aimed to assess the extent to which the influence of these factors might vary between different medical conditions. A sample of university students were presented with two health scenarios containing statistical information on the prevalence of breast cancer and hypertension either through icon arrays (N = 71) or natural frequencies (N = 72). They also received information regarding a preventive measure (mammogram/low-sodium diet) and the likelihood of a positive mammogram or a rich-sodium diet either when suffering or not suffering from the disease. Before seeing the data, participants rated the severity of the disease and the inconvenience of the preventive measure. After reading the health scenario, participants had to rate its difficulty, and how worrisome it was. They had also to rate the prior probability of suffering from this medical condition, and the posterior probability of it, provided a positive mammogram or a rich-sodium diet. Finally, they rated the extent to which they would recommend the preventive measures. All the rates used the same 1 (little)-8 (a great deal) scale. Participants’ numeracy was also assessed. The scenarios differed significantly in perceived severity and worry, with the cancer scenario obtaining higher scores. Importantly, regression analyses showed that the recommendations in the two health scenarios depended on different variables. A model taking into consideration severity and worry rates best explained decisions in the cancer scenario; in contrast, in the hypertension scenario the model that best explained the recommendations comprised both the posterior probability estimate and the severity rate. Neither numeracy nor presentation format affected recommendation but both affected difficulty, worrying and probability rates. We conclude that previous perceptions of the severity of a health condition modulate the use of probabilistic information for decision-making. The roles of presentation format and numeracy in enabling patients to understand statistical information are also discussed.

[Not Available]

When it comes to medical care, the move from minor to adult status is problematic, between the age of puberty and the age of majority, which only allows decisions to be taken independently. Medical law has evolved over the last few years, propelled by the promotion of child rights. It gives more space for adolescents to decide about their own health.

Advance care planning and end-of-life decision making in dialysis: a randomized controlled trial targeting patients and their surrogates

BACKGROUND

Few trials have examined long-term outcomes of advance care planning (ACP) interventions. We examined the efficacy of an ACP intervention on preparation for end-of-life decision making for dialysis patients and surrogates and for surrogates' bereavement outcomes.

STUDY DESIGN

A randomized trial compared an ACP intervention (Sharing Patient's Illness Representations to Increase Trust [SPIRIT]) to usual care alone, with blinded outcome assessments.

SETTING & PARTICIPANTS

420 participants (210 dyads of prevalent dialysis patients and their surrogates) from 20 dialysis centers.

INTERVENTION

Every dyad received usual care. Those randomly assigned to SPIRIT had an in-depth ACP discussion at the center and a follow-up session at home 2 weeks later.

OUTCOMES & MEASUREMENTS

PRIMARY OUTCOMES

preparation for end-of-life decision making, assessed for 12 months, included dyad congruence on goals of care at end of life, patient decisional conflict, surrogate decision-making confidence, and a composite of congruence and surrogate decision-making confidence.

SECONDARY OUTCOMES

bereavement outcomes, assessed for 6 months, included anxiety, depression, and posttraumatic distress symptoms completed by surrogates after patient death.

RESULTS

PRIMARY OUTCOMES

adjusting for time and baseline values, dyad congruence (OR, 1.89; 95% CI, 1.1-3.3), surrogate decision-making confidence (β=0.13; 95% CI, 0.01-0.24), and the composite (OR, 1.82; 95% CI, 1.0-3.2) were better in SPIRIT than controls, but patient decisional conflict did not differ between groups (β=-0.01; 95% CI, -0.12 to 0.10).

SECONDARY OUTCOMES

45 patients died during the study. Surrogates in SPIRIT had less anxiety (β=-1.13; 95% CI, -2.23 to -0.03), depression (β=-2.54; 95% CI, -4.34 to -0.74), and posttraumatic distress (β=-5.75; 95% CI, -10.9 to -0.64) than controls.

LIMITATIONS

Study was conducted in a single US region.

CONCLUSIONS

SPIRIT was associated with improvements in dyad preparation for end-of-life decision making and surrogate bereavement outcomes.

Medical Reasoning with Rough-Set Influence Diagrams

There are several advantages to evaluating a problem using influence diagram operations. The analyst can use a representation that is natural to the decision maker, since the algorithm executes all of the inference and analysis automatically. The influence diagram solution procedure can also result in significant gains in efficiency. Conditional independence is clearly exhibited in the diagram, so the size of intermediate calculations can be reduced, resulting in considerable reductions in both processing time and memory requirements. However, when imprecise knowledge from data sets is involved in the systems, how to reason from approximate information becomes a main issue in evaluating influence diagrams effectively. This study develops an alternative knowledge model, rough-set influence diagrams (RSID), which combine rough-set decision rules and graphical structures of influence diagrams in medical settings. The proposed RSID provides a comprehensive schema for knowledge representation and decision support.

Clinicians' expectations for gene-driven cancer therapy

A new era of medicine is rapidly approaching, which will change not only pathological diagnosis but also medical decision-making. This paper raises the question of how well prepared doctors are to address the new issues that will soon confront them. The human genome has been completely sequenced and general understanding about cancer biology has increased enormously with understanding that unregulated gene function and complicated changes in signal pathways are related to uncontrolled cell growth. Thus, gene-driven therapy involving alterations to genes are recognized to present new therapy options. This advance will necessitate major changes to the decision-making aspect of physicians. This article focuses on defining the pertinent changes and addressing what they mean for practicing physicians.

[The medical autonomy of elderly in Taiwan]

The elderly population is increasing rapidly in Taiwan. With the average life expectancy on the rise, the elderly have become major consumers of healthcare products and services. Factors that influence respect for autonomy, a core value of medical ethics, may be related to family, society, and the medical culture. Especially in patients who are already elderly, aging causes declines in physical, mental and societal capacities. Practicing a respect for patient autonomy is particularly challenging for healthcare professionals in Taiwan due the unique culture background of elderly Taiwanese patients. This article reviews and integrates the literature related to the issue of patient autonomy and elaborates on medical decision-making among elderly patients in Taiwan in the contexts of: the disadvantages faced by the elderly, the background of Chinese culture, and the current medical decision-making environment. A few suggestions are proposed to help preserve the medical-decision-making autonomy of elderly patients in Taiwan.

Sarcoma: concordance between initial diagnosis and centralized expert review in a population-based study within three European regions

BACKGROUND

Sarcomas represent a heterogeneous group of tumors. Accurate determination of histological diagnosis and prognostic factors is critical for the delineation of treatment strategies. The contribution of second opinion (SO) to improve diagnostic accuracy has been suggested for sarcoma but has never been established in population-based studies.

METHODS

Histological data of patients diagnosed with sarcoma in Rhone-Alpes (France), Veneto (Italy) and Aquitaine (France) over a 2-year period were collected. Initial diagnoses were systematically compared with SO from regional and national experts.

RESULTS

Of 2016 selected patients, 1463 (73%) matched the inclusion criteria and were analyzed. Full concordance between primary diagnosis and SO (the first pathologist and the expert reached identical conclusions) was observed in 824 (56%) cases, partial concordance (identical diagnosis of connective tumor but different grade or histological subtype) in 518 (35%) cases and complete discordance (benign versus malignant, different histological type or invalidation of the diagnosis of sarcoma) in 121 (8%) cases. The major discrepancies were related to histological grade (n = 274, 43%), histological type (n = 144, 24%), subtype (n = 18, 3%) and grade plus subtype or grade plus histological type (n = 178, 29%).

CONCLUSION

More than 40% of first histological diagnoses were modified at second reading, possibly resulting in different treatment decisions.